Investment

Companies are taking vastly different approaches to how they implement generative AI, whether it's to empower employees or to overhaul the way they bring products to market.

From internal operations to conversational interfaces for clients, bank executives are bullish on the potential for efficiency gains.

To protect their own talent pipeline, financial companies need to make sure that they're not only protecting the entry-level roles that AI threatens to take over, but getting the enthusiastic buy-in of the people most likely to be affected, according to experts from Fiserv, Segpay and Featurespace.

Many assumed the advent of cryptocurrencies heralded a revolution in finance. The truth may be that crypto's overall impact on the financial services industry is more evolutionary than revolutionary.

The financial services firm is using Google Cloud's Vertex AI platform to help customer service agents quickly locate and understand policies when answering queries.

In his annual letter to shareholders, JPMorgan Chase CEO Jamie Dimon wrote that the bank has identified more than 400 use cases for artificial intelligence across marketing, fraud and risk. It has also amassed thousands of AI experts and data scientists and begun exploring deploying generative AI.

A new, free leaderboard created and continuously updated by the Kensho team at S&P Global gives people in the financial industry a sense of which generative AI models work best for specific use cases.

TD moved its automated trading service to the cloud, in the hopes of new levels of efficiency and computational power.

Despite advancements in AI for transaction monitoring, financial institutions share little in the way of fraud data, undermining efforts to combat crimes including check fraud.

Synovus Financial demonstrated at an industry conference how it is using Microsoft's Copilot to help its staff address customers' concerns.